Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network

<table class="table-group" id="tab11"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Measure</td><td class="align_center">WDBC (%)</td><td class="align_center">Hepatitis (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Accuracy</td><td class="align_center">98.734</td><td class="align_center">93.902</td></tr><tr><td class="align_left">Precision</td><td class="align_center">98.305</td><td class="align_center">95.121</td></tr><tr><td class="align_left">Sensitivity</td><td class="align_center">99.145</td><td class="align_center">92.857</td></tr><tr><td class="align_left">Specificity</td><td class="align_center">98.333</td><td class="align_center">95</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance evaluation of the proposed framework.</div>

Computational and Mathematical Methods in Medicine

tab11

Table 11

Table 11: Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network 